7de BI congres van het BICC-Thomas More: 3 april 2014 Business Analytics @ Immoweb In 2013 heeft Immoweb gekozen voor SAS Visual Analytics om een solide basis uit te bouwen om de besluitvorming te ondersteunen. Tijdens deze sessie worden een aantal uitdagingen onder de loep genomen rond rapportering, analytics en forecasting. Met deze praktijk case krijg je inzicht in hoe je een analytics en rapporterings omgeving kan opzetten als beleidsondersteuning.

1. IMPLEMENTATION of VISUAL ANALYTICS
at
IMMOWEB
Thinking Out Of The Box
From distributed reporting to Visual Insights
BICC 03 April 2014

2. Agenda
• Welcome
• Immoweb – facts & figures
• BI – Business Needs / Expectations
• BI – Project Implementation
• Next Steps and Lessons learned
• Demo
• Q&A
2

3. IMMOWEB
Launch of Hotmail
Birth of Wi-Fi protocol (indeed, no Wi-Fi before ;-))
While only 3% of the Belgians had Internet at
home, Christian Rousseaux decided to create
3
Same year :

4. 40.000 classifieds
200.000 pictures
30.000 daily visitors
40% Internet penetration
4
IMMOWEB reaches its break-even point!

5. 120.000 properties (BE)
80.000 abroad
1.500.000 pictures
220.000 daily visits
Launch of Immoweb iPhone app’
Immoweb is partner with
Google for the launch of
Streetview in Belgium
>80% Internet in Belgium
5

6. Acquisition by Axel Springer
Rousseaux
Family
11.3%
30% 70%
Axel Springer Digital Classifieds GmbH
17.4%
80%99.2% 100%100%88.7%
20%
6

7. Part of a large group
2006 2007 2008 20102009 2011 20132012
7
Acquisitions
Organic
Development

8. 153.000 classifieds in Belgium
95.000 classifieds abroad
2.200.000 pictures
293.000 daily visits
>500.000 downloads of our mobile apps (iPhone, iPad, Android)
44.000 fans on Facebook
8

9. Focus sur le mobile
30% visits on IMMOWEB
via mobile devices in Aug. 2013
(of which 18% via Immoweb app’s)
500.000 downloads
Available on iPhone, iPad and Android
Radar feature
Real-time warnings
9

10. Agenda
• Welcome
• Immoweb – facts & figures
• BI – Business Needs / Expectations
• BI – Project Implementation
• Demo
• Next Steps and Lessons learned
• Q&A
10

11. Business Expectations
Page 11
• One version of the truth
• Monthly reporting available 2nd day of the month
• Defined set of standard reports
• High degree of Self Service

12. Business Needs
FORECASTING
ANALYSIS
DATA
REPORT
UNDERSTAND
PREDICT

13. Solution & Vendor Selection
Why we selected SAS Visual Analytics
- Reporting & visualization capabilities
- Data discovery features
- “Integrated” and proven ETL
- Broad portfolio allowing for future expansion
into e.g. text mining
Page 13

14. Solution & Vendor Selection
Why we selected SBI
- Proven experience w/ SAS implementations
- Visual Analytics certified
- Supported by SAS Institute
- Team & Drive!
Page 14

15. Page 15 14/04/2014
Visual Analytics Implementation
SBI performs/provides
• Installation & configuration of SAS Visual Analytics on internal
server farm
• Flexible deployment environment
• Isolated environment (server, network, storage) per customer
• Manage environment (backup, software updates, security)
• Scale in function of customer needs (compute power, memory,
data storage)
• Integration with customer ODS
• Development of VA Data Mart
• Development of initial VA Report Data Sets & VA Reports
• Release management from TST to PRD
• Remote access via VPN

16. Enterprise
Guide
Page 16
Visual Analytics – the big picture
ODS
ODS
Subset
VA
Data
Mart
Operational
Systems
Report
Data
Set
Report
Data
Set
Report
Data
Set
Report
Data
Set
Power users
Data Exploration
ODS
ODS
ODS
Subset
ODS
Subset

17. Page 17 14/04/2014
Visual Analytics – Environments
ODS
Operational
Systems
ODS
Subset
VA
Data
Mart
Report
Data
Set
Report
Data
Set
Report
Data
Set
Report
Data
Set
PRD
ODS
Subset
VA
Data
Mart
Report
Data
Set
Report
Data
Set
Report
Data
Set
Report
Data
Set
TST
Controlled Release Process
Ad-hoc release process
Scheduled release process

18. Page 18
Visual Analytics
Implementation Requirements
End-user reports available when needed & based on
a controlled version of the data
Development of reports in a” flexible manner
Development or modification of reports do not
affect ‘production’ reports consulted by end-users
Exploration of data by power users
Observation: some of the above requirements
mandate the use of separate environments

19. Project Team & Organisation
Immoweb
SBI
SAS
• Short project – lean
project management
– Regular project
meetings
– Regular SteerCo
meetings
– Formal validation of
reports
– Stress testing
– Pre go-live testing
– Go-live support
Page 19

20. Traditional Implementation
Data Preparation
Report Building
Testing
Validation
Set Up Test & Production
Environment
Page 20

21. Agile implementation
Page 21
Data
Discovery
Data
Structuring
Concept
Report
Rapid Iterations
Final
Reports

22. Agenda
• Welcome
• Immoweb – facts & figures
• BI – Business Needs / Expectations
• BI – Project Implementation
• Lessons learned
• Demo
• Q&A
22

23. Lessons Learned
Importance of Data Quality
Importance of IT Infrastructure
Different Way of Thinking
Process – Not Project
Page 23

24. Page 24 14/04/2014
IT Infrastructure
• Release manager
⬌Developer ⬌End-user
Proper release
management
requires segregation
of duties
• Batch job managementScheduled release
management
• Provide possibility to revert
to proven, working state
Versioning control

25. THANK YOU
Page 25
Jos Cools
Managing Partner SBI
Jos.Cools@sbiconsulting.be
www.sbiconsulting.be